{"id":"W4246565420","doi":"10.5194/amt-2020-149","title":"Using Two-Stream Theory to Capture Fluctuations of Satellite-Perceived TOA SW Radiances Reflected from Clouds over Ocean","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Freie Universität Berlin; European Space Agency; Langley Research Center; National Aeronautics and Space Administration","keywords":"Cloud albedo; Cloud fraction; Radiance; Effective radius; Cloud top; Remote sensing; Radiative transfer; Environmental science; Albedo (alchemy); Cloud computing; Cloud height; Atmospheric radiative transfer codes; Shortwave; Meteorology; Satellite; Cloud cover; Physics; Geology; Computer science; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008028134,0.0006048699,0.0003816361,0.0006020063,0.000261199,0.0007962502,0.0007609269,0.0005211542,0.001060948],"category_scores_gemma":[0.002227454,0.0003057795,0.0008087711,0.0005751909,0.0003914124,0.001053926,0.0005065343,0.0006400604,0.000404771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007371394,"about_ca_system_score_gemma":0.0008501731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136518,"about_ca_topic_score_gemma":0.008270022,"domain_scores_codex":[0.9998407,0.00004026267,0.000008620541,0.00005337916,0.00003667815,0.00002034366],"domain_scores_gemma":[0.9994795,0.0002537363,0.00007666767,0.00005979569,0.0001088288,0.00002162247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003152539,0.00007383058,0.006378037,0.00002928661,0.00003981646,0.00005403477,0.00004181193,0.9701692,0.003087971,0.003091469,0.0003026664,0.01670025],"study_design_scores_gemma":[9.140367e-7,0.000004489861,0.0003939328,7.94619e-7,0.000001493162,0.000002843993,0.000001963097,0.9991978,0.0001485624,0.000194819,0.00005079372,0.000001594414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2738443,0.0002078152,0.7229449,0.0001282164,0.00009891798,0.00009468924,0.000227457,0.0005177947,0.001935955],"genre_scores_gemma":[0.9497464,0.000216296,0.04757314,0.00003749442,0.00004445677,0.0001063655,0.0003534336,0.00007789441,0.001844511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01136518,"threshold_uncertainty_score":0.02259803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044689903739214,"score_gpt":0.2911706707088119,"score_spread":0.2607237716714198,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}